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Don't Learn Data Science: How Smarter Analytics Will Amplify Your Impact

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Don't Learn Data Science: How Smarter Analytics Will Amplify Your Impact

What do the following people have in common?

  • A head of sales looking to optimize the way his team gets medical technologies into the hands of those who need them the most
  • A marketing professional seeking to provide tailored content to anonymous users navigating across her organization’s network of web properties
  • A sixth grade teacher deciding what to teach on a given day to get his struggling students up to speed by the end of the school year

Public sector, private sector, for-profit, non-profit – today’s knowledge workers are part of a great collaborative effort to tackle society’s problems and inefficiencies, providing gains that ultimately raise the quality of life for all. They probe opportunities and explore daily pains, develop solutions and deliver services, hone strategies and optimize operations. And more than ever before, they do so by turning a scientific eye to the world around them.

Because they can now harness massive volumes of data streaming in from an array of sources, they benefit from running mini experiments every step along the way. Sales leaders identify patterns amongst their most successful reps and help others adopt the same tactics. Product marketers invest across many channels and track the resulting social media buzz to identify their target segments. School administrators rest assured knowing that if students’ test scores drop, they’ll be the first to know.

Some spend their lives deep in the intricacies that advance this data-driven economy. But the decision makers of this era shouldn’t need statistics majors or data science credentials any more than you need to understand microprocessors before using a computer, or comprehend the finer points of combustion engine oxidization before driving to work. The beauty of this age is that you can focus where your passions lie by standing on the shoulders of giants.

With data collection, storage and analysis in the cloud, and the complexities hidden from view, you can now gain access to massive amounts of actionable information, right at your fingertips. New flexible tools help you explore your data, understand its origins, and gain trust in its accuracy. As you begin your analysis, you can simply drag data onto a canvas and watch visualizations appear, automatically accommodating your natural propensities for perceiving different types of information. That allows you to notice trends, discrepancies and patterns you didn’t even know to look for. And you never get stuck wondering what to do next, since in-app recommendations offer suggestions of what to analyze based on best practices collected across hundreds of thousands of your peers. You’ll never need to make an important decision in isolation again.

As technology races ahead, we’ll continue to ask more of it – literally. Questions will move beyond what happened, to why did it happen, and then what should we do about it, and what will happen next? Naturally this necessitates tools that can carry out complex data manipulations for us, offering even more advanced recommendations to help drill deep into data and predict future results without demanding data science expertise. This sounds like science fiction to some, more akin to Tony Stark’s Jarvis or V.I.K.I. in I, Robot than a tool we might expect to use in our day-to-day work. But even in today’s world, they’re well within reach, ready to make the modern knowledge worker capable of true data-driven leadership.

The next stage in the democratization of data is arriving, and when it gets to the director of sales, the marketing manager and school administrator, they’ll be well equipped to transform their organizations, their communities, and the world.

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Written by GoodData Author  | 

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